Director, Computational Sciences

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Job date: 2014-11-20
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Company : Global Blood Therapeutics 

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Role : Research Scientist 


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Job Description:
Global Blood Therapeutics (GBT, www.globalbloodtx.com), based in South San Francisco, is a private and well-financed biotechnology company dedicated exclusively to discovering and developing breakthrough treatments for patients with severe, non-malignant blood diseases for which there are few options. Since its formal launch by Third Rock Ventures in 2012, GBT has discovered a compelling collection of innovative and proprietary small molecules aimed directly at the fundamental mechanism underlying sickle cell disease (SCD) for use as an oral, chronic and preventative therapy. GBT has initiated IND-enabling activities on a lead product candidate selected from this collection based on its superior properties, and is progressing toward its goal of initiating a first clinical study by early 2015. Two other exciting R&D programs directed at other blood targets are in the Lead Optimization and Hit Discovery stages, respectively. GBT has a strong set of capabilities in blood biology and small molecule drug discovery, and is positioned to expand and advance its pipeline rapidly. Position Summary Utilize expertise in protein structure/function, computational methodologies and structure-based drug design to advise project teams and the scientific leadership of the company; influence project selection and strategy ultimately resulting in the discovery of small molecule clinical candidates Roles/Deliverables • Functions as an influential project team member; guides the direction of compound design strategies in projects • Serves as an expert in the evaluation of protein constructs, crystal structures and other structural biology data • Investigates the protein dynamics of systems through the integration of computational and experimental techniques • Evaluates homology of various proteins; may develop homology or pharmacophore models for use by project teams • Conducts high-level calculations for project teams • Contributes to the conception, evaluation and initiation of new projects • May develop ADMET predictive tools for use by scientists from multiple disciplines • Maintains a current understanding of computational science literature and methodology, as well as the scientific literature related to specific drug discovery projects • Demonstrates inter-disciplinary knowledge of drug discovery (e.g., chemistry, enzymology, cellular pharmacology, pharmacokinetics) and is able to use this knowledge to influence project strategy • Develops and contributes to company’s intellectual property domain by way of patents and/or publications • Prepares and organizes data for presentations; presents written and oral reports; may communicate research efforts to collaborators and corporate partners or at scientific meetings • May lead a group or project Requirements • PhD in a relevant field such as Computational, Physical, or Theoretical Chemistry; Molecular Biophysics; or Computational Biology with at least 5 years of experience in a biotech or pharmaceutical company • Experience with iterative structure-guided compound optimization • Experience programming in Perl, Python, C, Fortran, Java or C++ • Experience in the following areas: protein binding site analyses, computation of protein-ligand binding affinities, high-throughput 3D pharmacophore and/or docking algorithms, homology modeling, ab initio calculations, molecular dynamics simulations, development of QM/MM models • Strong oral and written communications skills • Strong publication record • Track record of impact on successful drug discovery program(s) For consideration, please submit your resume to careers@globalbloodtx.com.


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